Enterprise Data Modeler in Arkansas Career Overview

As an Enterprise Data Modeler, your primary role involves designing and maintaining the data architecture for organizations. This entails the creation of highly structured data models that are essential for data management, analysis, and strategic planning. Through your work, you play a significant part in ensuring that an organization can efficiently collect, store, and utilize data across various systems.

Key responsibilities typically include:

  • Developing conceptual, logical, and physical data models aligned with business needs and industry standards.
  • Collaborating with stakeholders to gather data requirements and translate them into data models that facilitate decision-making.
  • Implementing data governance practices to ensure data quality, integrity, and security.
  • Working alongside IT and business teams to integrate data solutions that support operational and analytical processes.
  • Creating documentation and guidelines to aid in the understanding and use of data models within the organization.

Your expertise helps drive data-driven decision-making by creating unified frameworks that support various business objectives. In an era where data is a valuable asset, your role serves as a vital link between technology and business strategy, making you instrumental in harnessing data for competitive advantage.

Enterprise Data Modeler Salary in Arkansas

Annual Median: $98,280
Hourly Median: $47.25

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education To Become an Enterprise Data Modeler in Arkansas

To pursue a career as an Enterprise Data Modeler, you will need to obtain specific educational qualifications and training. Consider the following college degree programs:

  • Data Analytics: This program equips you with the fundamental knowledge and skills needed to analyze data sets and derive insights, a crucial aspect of data modeling.

  • Data Modeling and Database Administration: This specialized program focuses on the techniques and tools necessary for designing and managing effective data structures and databases.

  • Business Analytics: This degree provides insights into how data drives business decisions. It combines data analysis with business acumen, which is beneficial for data modeling in a business context.

  • Computational and Applied Mathematics: This program emphasizes mathematical techniques and models that can be applied to solve real-world problems, a valuable asset for designing robust data models.

  • Applied Statistics: This degree focuses on statistical methods and data analysis techniques, which are essential for interpreting data and ensuring the accuracy of your models.

These educational paths will provide you with the foundational knowledge and skills necessary to excel as an Enterprise Data Modeler.

Best Schools to become a Enterprise Data Modeler in Arkansas 2024

#1Salt Lake County

Western Governors University

Salt Lake City, UT

In-State Tuition:$7,404
Out-of-State Tuition:$7,404
Admission Rate:N/A
Graduation Rate:49%
Total Enrollment:156,935
#2Suffolk County

Northeastern University Professional Programs

Boston, MA

In-State Tuition:$45,989
Out-of-State Tuition:$45,989
Admission Rate:N/A
Graduation Rate:N/A
Total Enrollment:8,264
#3Dauphin County

Harrisburg University of Science and Technology

Harrisburg, PA

In-State Tuition:$23,900
Out-of-State Tuition:$23,900
Admission Rate:84%
Graduation Rate:32%
Total Enrollment:3,082
#4Hampshire County

University of Massachusetts-Amherst

Amherst, MA

In-State Tuition:$16,186
Out-of-State Tuition:$37,405
Admission Rate:64%
Graduation Rate:83%
Total Enrollment:32,229
#5Middlesex County

Hult International Business School

Cambridge, MA

In-State Tuition:$48,375
Out-of-State Tuition:$48,375
Admission Rate:48%
Graduation Rate:64%
Total Enrollment:2,176
#6Athens County

Ohio University-Main Campus

Athens, OH

In-State Tuition:$13,352
Out-of-State Tuition:$23,720
Admission Rate:87%
Graduation Rate:65%
Total Enrollment:24,145
Enterprise Data Modeler Job Description:
  • Design strategies for enterprise databases, data warehouse systems, and multidimensional networks.
  • Set standards for database operations, programming, query processes, and security.
  • Model, design, and construct large relational databases or data warehouses.
  • Create and optimize data models for warehouse infrastructure and workflow.
  • Integrate new systems with existing warehouse structure and refine system performance and functionality.

Enterprise Data Modeler Required Skills and Competencies in Arkansas

  • Data Modeling Proficiency: Develop a strong understanding of various data modeling techniques, including conceptual, logical, and physical models. Ability to effectively represent complex data structures and relationships.

  • Database Knowledge: Familiarize yourself with different database management systems (DBMS), such as SQL Server, Oracle, and MySQL. Understand data storage, retrieval, and performance optimization within these systems.

  • ETL Processes: Acquire skills in Extract, Transform, Load (ETL) processes. Proficiency in using ETL tools to move and transform data effectively is vital.

  • Data Governance: Learn about data governance principles, policies, and best practices. Ensure that data is managed responsibly, maintaining privacy and compliance with regulations.

  • Analytical Thinking: Cultivate strong analytical skills to evaluate complex datasets and extract meaningful insights. Ability to troubleshoot and identify issues within data models.

  • Collaboration: Work effectively with cross-functional teams, including developers, business analysts, and stakeholders. Excellent communication skills are essential for articulating data concepts to non-technical team members.

  • Programming Skills: Gain familiarity with programming languages, such as SQL, Python, or R, to handle data manipulation and analysis tasks.

  • Business Acumen: Understand business processes and how data impacts organizational decision-making. This knowledge will help you align data models with business objectives.

  • Attention to Detail: Maintain a meticulous approach to data accuracy and integrity. Small errors in data modeling can have significant downstream effects.

  • Problem-Solving Skills: Develop the ability to approach complex data challenges systematically. Innovate solutions that enhance data usability and functionality.

  • Documentation Skills: Be proficient in documenting data models and practices clearly. Good documentation supports knowledge transfer and aids in future model revisions.

  • Continuous Learning: Stay current with emerging data modeling tools and technologies. A commitment to ongoing learning will enhance your effectiveness in a rapidly evolving field.

Job Duties for Enterprise Data Modelers

  • Collaborate with system architects, software architects, design analysts, and others to understand business or industry requirements.

  • Develop and document database architectures.

  • Develop database architectural strategies at the modeling, design and implementation stages to address business or industry requirements.

Technologies and Skills Used by Enterprise Data Modelers

Data base management system software

  • Amazon DynamoDB
  • Elasticsearch

Data base user interface and query software

  • Apache Hive
  • Blackboard software

Web platform development software

  • React
  • Spring Framework

Basic Skills

  • Reading work related information
  • Thinking about the pros and cons of different ways to solve a problem

People and Technology Systems

  • Figuring out how a system should work and how changes in the future will affect it
  • Thinking about the pros and cons of different options and picking the best one

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Job Market and Opportunities for Enterprise Data Modeler in Arkansas

  • The demand for Enterprise Data Modelers in Arkansas is on the rise, largely driven by the increasing importance of data management and the need for organizations to leverage data for decision-making. Companies across various sectors, including healthcare, finance, and retail, are investing in data-driven strategies, creating a favorable environment for data modeling professionals.

  • Growth potential in this field is significant. As businesses continue to embrace digital transformation, the requirement for efficient data systems and data architecture is becoming more pronounced. This trend suggests sustained demand for skilled data modelers who can design and implement robust data solutions.

  • Geographical hotspots in Arkansas where opportunities for Enterprise Data Modelers are concentrated include:

    • Little Rock: As the state capital and economic hub, Little Rock features a diverse range of industries that require data modeling expertise. The presence of government agencies, healthcare organizations, and financial institutions contributes to a robust job market.
    • Northwest Arkansas: This region, home to major corporations such as Walmart and Tyson Foods, is experiencing a surge in technology-driven initiatives, leading to a higher demand for data professionals. The growing tech ecosystem supports roles related to enterprise data management.
    • Fayetteville: With an emerging tech scene and a growing number of startups, Fayetteville is becoming a notable location for data-focused careers. The university presence in the region also fosters innovation and collaboration, enhancing job prospects.

  • In summary, the job market for Enterprise Data Modelers in Arkansas is dynamic, characterized by growing demand and diverse opportunities across key regions. As organizations continue to navigate data complexities, the prospects for career advancement in this field are promising.

Top Related Careers to Enterprise Data Modeler 2024

Data Warehouse Architect
Relational Database Designer
Database Performance Analyst

Additional Resources To Help You Become an Enterprise Data Modeler in Arkansas

  • Data Management Association (DAMA) International
    Visit DAMA to access a wealth of resources including publications, webinars, and whitepapers focused on data management practices.
    DAMA International

  • International Institute for Analytics (IIA)
    The IIA provides insights and research on data analytics, which is valuable for enterprise data modelers looking to enhance their analytical skills.
    International Institute for Analytics

  • The Data Warehousing Institute (TDWI)
    TDWI offers training, certification, and research in data warehousing and business intelligence, which are beneficial for enterprise data modeling.
    TDWI

  • IBM Data Modeling
    IBM provides resources and tools for enterprise data modelers, including guidelines for data modeling practices and software solutions used in the industry.
    IBM Data Modeling

  • Oracle Data Modeling
    Oracle's site includes articles, tutorials, and software options geared toward effective data modeling strategies for enterprises.
    Oracle Data Modeling

  • Modeling Data Warehouses and Business Intelligence
    This book provides a thorough exploration of designing and implementing data warehouses and is a strong resource for enterprise data modelers.
    Available on Amazon

  • Coursera: Data Modeling Courses
    Explore courses on data modeling from leading universities and organizations that offer insights and skills through online learning platforms.
    Coursera

  • LinkedIn Learning: Data Modeling Training
    Access a range of video tutorials on data modeling techniques, tools, and best practices through LinkedIn Learning.
    LinkedIn Learning

  • Data Science Central
    A comprehensive community site that provides articles, discussions, and resources specifically for data professionals, including modelers.
    Data Science Central

  • KDnuggets
    This site features articles, industry news, and resources on data science and analytics that can enhance your understanding of enterprise data modeling.
    KDnuggets

These resources will enrich your knowledge and provide you with the latest trends, tools, and best practices in the field of enterprise data modeling.

Frequently Asked Questions (FAQs) About Enterprise Data Modeler in Arkansas

  • What is an Enterprise Data Modeler?
    An Enterprise Data Modeler specializes in designing and managing the data architecture of an organization. This role involves creating data models that outline how data is stored, accessed, and interacted with across various systems.

  • What skills are required to become an Enterprise Data Modeler?
    Key skills include:

    • Proficiency in data modeling tools (e.g., ERwin, ER/Studio)
    • Understanding of database management systems (e.g., SQL Server, Oracle)
    • Strong analytical and problem-solving skills
    • Knowledge of data governance and data quality principles
    • Effective communication for stakeholder collaboration

  • What educational background is needed for this role?
    A bachelor’s degree in computer science, information technology, data science, or a related field is typically required. Advanced degrees or certifications in data management can be beneficial.

  • What are common job responsibilities of an Enterprise Data Modeler?
    Responsibilities often include:

    • Developing and maintaining conceptual, logical, and physical data models
    • Collaborating with business stakeholders to understand data requirements
    • Ensuring data integrity, security, and compliance with regulations
    • Documenting data standards and model changes
    • Conducting data analysis to inform model design and optimization

  • What industries employ Enterprise Data Modelers?
    Various sectors, including finance, healthcare, retail, and technology, utilize Enterprise Data Modelers to effectively manage their data. Government agencies and educational institutions also rely on these professionals.

  • What is the job outlook for Enterprise Data Modelers in Arkansas?
    The demand for data professionals, including Enterprise Data Modelers, is expected to grow due to the increasing importance of data-driven decision-making in organizations.

  • What tools and software should I be familiar with?
    Familiarity with tools such as:

    • Data modeling software (e.g., ERwin, Oracle SQL Developer)
    • Database management systems (e.g., MySQL, PostgreSQL)
    • Business Intelligence tools (e.g., Tableau, Power BI)
    • Data visualization and analytics tools can enhance job prospects.

  • Is certification beneficial for an Enterprise Data Modeler?
    Yes, certifications such as Certified Data Management Professional (CDMP) or certifications offered by specific data modeling tools can enhance your credibility and skill set, making you more attractive to employers.

  • What are potential career advancement opportunities in this field?
    Advancement could lead to roles such as Data Architect, Data Analyst, or Chief Data Officer. Continuous education and experience are key to progressing to these higher-level positions.

  • What is the typical salary range for an Enterprise Data Modeler in Arkansas?
    Salaries can vary based on experience and organization size, but on average, you can expect a salary range from $80,000 to $120,000 annually. Experienced data modelers in senior positions may earn higher.

  • Are there professional organizations for data professionals?
    Yes, organizations like the Data Management Association (DAMA) and the International Institute of Business Analysis (IIBA) can provide networking, resources, and continuous education opportunities for data professionals.